Case studies
The work behind the expertise.
Anonymized examples of documented team experience. Practical scope, technical contribution, and lessons for similar projects.
Experience, in context
Explore the work.
These examples describe professional contributions, not client endorsements. Some experience predates QA Logistics; each page identifies that distinction. Company names and confidential details are omitted, and unverified results are not claimed.
Food & beverage 01
Experience referenced · May 2023
Modernizing RF workflows for a beverage manufacturer
A beverage manufacturer required RF and operational enhancements as part of work spanning an older WMS environment and a newer release. The documented contribution covered an RF uplift from WMS 2012 to 2023 and changes around counting, appointments, and inventory expiration.
ExploreApparel & footwear 02
Experience referenced · August 2023
Connecting apparel fulfillment to warehouse automation
An apparel retailer needed integration between its WMS and automation systems. The documented technical contribution involved connecting automation interfaces with a WMS 2022 environment. The work sits at the boundary between digital task execution and physical warehouse movement.
ExplorePharma & healthcare 03
Experience referenced · November 2023
Connecting pharmaceutical warehouse data to an analytics foundation
A pharmaceutical distributor required warehouse-system data integration with a cloud data platform. The documented contribution connected a WMS 2020 environment with Azure Blob Storage as part of a data-lake integration.
ExploreThird-party logistics 04
Experience referenced · February 2024
Extending traceability and counting for a 3PL
A third-party logistics operation required WMS extensions around serialization and warehouse execution. The documented contribution included RF changes, PageBuilder functionality, labels, and detailed-count customization in a WMS 2020 environment.
ExploreRetail 05
Experience referenced · May 2024
Bringing retail operating requirements into a WMS rollout
The team’s documented retail implementation experience includes operational requirements, WMS configuration, training, and reporting. This example reflects a consultant’s professional delivery experience and is not presented as a named QA Logistics client project.
ExploreManufacturing & industrial distribution 06
Experience referenced · August 2024
Supporting WMS execution across an industrial distribution network
Documented team experience for an industrial tools distributor spans business analysis, current- and future-state process work, configuration, testing, training, go-live, and ongoing support. The example illustrates breadth across the delivery lifecycle rather than an independently verified performance result.
ExploreConsumer packaged goods 07
Experience referenced · November 2024
Developing inbound and outbound interfaces for consumer goods
For a consumer-goods manufacturer, the documented contribution included inbound and outbound interface development using MOCA and associated testing. The focus was the technical connection between enterprise transactions and warehouse execution.
ExploreRetail 08
Experience referenced · February 2025
Maintaining retail labels, reports, and warehouse workflows
A retail environment required technical support across labels, reports, and WMS workflows. Documented work included Jasper and Zebra labels, MOCA jobs and scripts, and support across multiple WMS versions.
ExploreThird-party logistics 09
Experience referenced · May 2025
Combining 3PL enhancements with incident resolution
A 3PL environment required ongoing development and incident support. Documented work in WMS 2020.1 included PageBuilder, MOCA, triggers, jobs, Jasper and Toolbox reports, with Git used in the rollout process.
ExploreWarehouse technology 10
Experience referenced · August 2025
Strengthening database operations behind a WMS
Documented QA Logistics database work includes SQL Server support for warehouse environments, index analysis, automated restore processes, and performance investigation using database diagnostics. This example focuses on the operational foundation rather than application feature delivery.
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